Subjective evaluation on quality of 3D monster modeling

Due to advances in computing techniques, graphics hardware, as well as networks, there has been an increase in the application of 3D across various domains. Given the difficulty in evaluating the graphical elements without a proper guideline, this paper aims to (1) Investigate and highlight the diff...

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Main Authors: Chen, Kim Lim, Iipinge, Vilho James, Nguarije, Hambira, Hussain, Azham
Format: Article
Language:English
Published: Science and Engineering Research Support Society 2020
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Online Access:http://repo.uum.edu.my/27139/1/IJAST%2029%206%202020%20290%20295.pdf
http://repo.uum.edu.my/27139/
http://sersc.org/journals/index.php/IJAST/article/view/11450
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spelling my.uum.repo.271392020-07-13T08:21:02Z http://repo.uum.edu.my/27139/ Subjective evaluation on quality of 3D monster modeling Chen, Kim Lim Iipinge, Vilho James Nguarije, Hambira Hussain, Azham QA76 Computer software Due to advances in computing techniques, graphics hardware, as well as networks, there has been an increase in the application of 3D across various domains. Given the difficulty in evaluating the graphical elements without a proper guideline, this paper aims to (1) Investigate and highlight the different methods used in evaluating 3D monster modeling, freeform modeling and intuitive modeling based on the literature review, (2) Develop a set of subjective questionnaires, criteria as well as procedures on the evaluation of 3D monster modeling and (3) carry out experimental and reliability testing based on some novel sample models as a step towards evaluating monster modeling. Science and Engineering Research Support Society 2020 Article PeerReviewed application/pdf en http://repo.uum.edu.my/27139/1/IJAST%2029%206%202020%20290%20295.pdf Chen, Kim Lim and Iipinge, Vilho James and Nguarije, Hambira and Hussain, Azham (2020) Subjective evaluation on quality of 3D monster modeling. International Journal of Advanced Science and Technology, 29 (6). pp. 290-295. ISSN 2005-4238 http://sersc.org/journals/index.php/IJAST/article/view/11450
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Chen, Kim Lim
Iipinge, Vilho James
Nguarije, Hambira
Hussain, Azham
Subjective evaluation on quality of 3D monster modeling
description Due to advances in computing techniques, graphics hardware, as well as networks, there has been an increase in the application of 3D across various domains. Given the difficulty in evaluating the graphical elements without a proper guideline, this paper aims to (1) Investigate and highlight the different methods used in evaluating 3D monster modeling, freeform modeling and intuitive modeling based on the literature review, (2) Develop a set of subjective questionnaires, criteria as well as procedures on the evaluation of 3D monster modeling and (3) carry out experimental and reliability testing based on some novel sample models as a step towards evaluating monster modeling.
format Article
author Chen, Kim Lim
Iipinge, Vilho James
Nguarije, Hambira
Hussain, Azham
author_facet Chen, Kim Lim
Iipinge, Vilho James
Nguarije, Hambira
Hussain, Azham
author_sort Chen, Kim Lim
title Subjective evaluation on quality of 3D monster modeling
title_short Subjective evaluation on quality of 3D monster modeling
title_full Subjective evaluation on quality of 3D monster modeling
title_fullStr Subjective evaluation on quality of 3D monster modeling
title_full_unstemmed Subjective evaluation on quality of 3D monster modeling
title_sort subjective evaluation on quality of 3d monster modeling
publisher Science and Engineering Research Support Society
publishDate 2020
url http://repo.uum.edu.my/27139/1/IJAST%2029%206%202020%20290%20295.pdf
http://repo.uum.edu.my/27139/
http://sersc.org/journals/index.php/IJAST/article/view/11450
_version_ 1672613155666132992
score 13.160551